Short Bio

I am a Computer Science PhD student at Harvard SEAS, and a research affiliate at the Harvard/MIT Center for Brains, Minds and Machines. I am advised by Hanspeter Pfister and Gabriel Kreiman. In the past, I worked closely with Xavier Boix. My research focusses on understanding and improving the out-of-distribution generalization in computer vision. I am fortunate to be supported by the Winston Chen Family Graduate Fellowship for funding my research.

Research Goal

Generalizing beyond the training data (i.e., out-of-distribution) is a fundamental goal in machine learning. While standardized datasets have led to unprecedented success, understanding how our models generalize beyond them is essential for building robust, trustable models that we can deploy with confidence. My research approaches this problem using computer graphics to create custom 3D worlds with complete control over the training and testing distributions, which we then use to investigate and improve out-of-distribution generalization. For an updated list of my papers, please check google scholar.

Beyond Research

  • I am an avid guitarist. You can find my covers and original music here - Bandcamp and Soundcloud.
  • I made an android app targeted to hindi users which got over 50,000 downloads!
  • I love to teach and used the pandemic to teach people diverse backgrounds (including lawyers, financial consultants) how to code in Python. Content coming soon!

Reviewing Experience

TPAMI, NeurIPS, CVPR, ECCV, UIST, InfoViz.